Efectos Cognitivos Reportados por Estudiantes del Uso de la Inteligencia Artificial (IA) en las Aulas de Filipinas: Una Revisión Empírica e Integrativa
DOI:
https://doi.org/10.48017/dj.v10iSpecial_3.3739Palabras clave:
Revisión no sistemática, educación, tecnología educativaResumen
Esta revisión integrativa empírica y no sistemática presenta una síntesis de estudios realizados por académicos filipinos entre 2020 y 2025 sobre los efectos cognitivos auto-reportados de las herramientas de Inteligencia Artificial (IA) en las aulas filipinas. Los principales hallazgos derivados de la revisión destacan que las herramientas de IA pueden (a) fomentar habilidades de pensamiento crítico y aumentar la autoeficacia, (b) adaptarse para crear una experiencia de aprendizaje personalizada y (c) mejorar las habilidades de escritura académica, principalmente a través de modelos de lenguaje a gran escala y sistemas de aprendizaje adaptativo. Sin embargo, surgen preocupaciones respecto a que los estudiantes (a) dependan en exceso de la IA, (b) vean alterados los procesos cognitivos fundamentales y (c) sufran efectos adversos en su salud física y mental. Estos hallazgos ilustran la paradoja del aprendizaje potenciado por la IA, donde las ventajas de la tecnología en la enseñanza y el aprendizaje coexisten con sus limitaciones, lo que podría comprometer un compromiso profundo y reflexivo. Para abordar esta situación, se recomienda que las herramientas de IA se integren en el currículo. con extrema precaución, dando prioridad a la ética. Las medidas de precaución deben incluir una evaluación crítica del contenido generado por IA, la promoción de recursos de salud mental relacionados con el uso de IA y la implementación consciente del contexto que considere los entornos locales del aula. Se necesita más investigación para examinar a fondo sus efectos cognitivos y socioemocionales a largo plazo. Esta síntesis puede guiar a educadores, legisladores y partes interesadas a tomar decisiones informadas y basadas en evidencia que aprovechen el potencial de la IA mientras se mitigan sus riesgos.
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Derechos de autor 2025 Maria Eliza Cruz-Ocampo, Peter Paul Ocampo, Philip Baldera, Alhay Marc Patiam
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